边缘计算和物联网人工智能:机遇与挑战

E. H. Lim, Tong-Yuen Chai, Manoranjitham Muniandy, Tien Fui Yong, B. Ooi, Jim-Min Lin
{"title":"边缘计算和物联网人工智能:机遇与挑战","authors":"E. H. Lim, Tong-Yuen Chai, Manoranjitham Muniandy, Tien Fui Yong, B. Ooi, Jim-Min Lin","doi":"10.1109/ICCE-Taiwan58799.2023.10226787","DOIUrl":null,"url":null,"abstract":"The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a distributed computing paradigm that enables computation and data storage at the network edge, has emerged as a promising solution for managing this data deluge. With the integration of Artificial Intelligence (AI) technologies, edge computing can provide real-time insights and decision-making capabilities, making it a powerful tool for a variety of IoT applications which poses both opportunities and challenges.","PeriodicalId":112903,"journal":{"name":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Edge Computing and AI for IoT: Opportunities and Challenges\",\"authors\":\"E. H. Lim, Tong-Yuen Chai, Manoranjitham Muniandy, Tien Fui Yong, B. Ooi, Jim-Min Lin\",\"doi\":\"10.1109/ICCE-Taiwan58799.2023.10226787\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a distributed computing paradigm that enables computation and data storage at the network edge, has emerged as a promising solution for managing this data deluge. With the integration of Artificial Intelligence (AI) technologies, edge computing can provide real-time insights and decision-making capabilities, making it a powerful tool for a variety of IoT applications which poses both opportunities and challenges.\",\"PeriodicalId\":112903,\"journal\":{\"name\":\"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)\",\"volume\":\"8 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226787\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCE-Taiwan58799.2023.10226787","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

物联网(IoT)设备的激增导致网络边缘生成的数据呈指数级增长。边缘计算是一种分布式计算范式,可以实现网络边缘的计算和数据存储,已经成为管理这种数据泛滥的有前途的解决方案。随着人工智能(AI)技术的集成,边缘计算可以提供实时洞察和决策能力,使其成为各种物联网应用的强大工具,这既带来了机遇,也带来了挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Edge Computing and AI for IoT: Opportunities and Challenges
The proliferation of Internet of Things (IoT) devices has led to an exponential growth in data generated at the edge of the network. Edge computing, a distributed computing paradigm that enables computation and data storage at the network edge, has emerged as a promising solution for managing this data deluge. With the integration of Artificial Intelligence (AI) technologies, edge computing can provide real-time insights and decision-making capabilities, making it a powerful tool for a variety of IoT applications which poses both opportunities and challenges.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Developing a visual IoT environment analysis system to support self-directed learning of students Smallest Botnet Firewall Building Problem and a Girvan-Newman Algorithm-Based Heuristic Solution Parametric Optimization of WEDM Process for Machining ANSI Steel Using Soft-Computing Methods Development of a Transmissive LED Touch Display for Engineered Marble Sewage Treatment Interactive Learning Game Design
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1